Applied Machine Learning Engineer

Key Skills

Aartificial intelligence, Computer Vision (CV), Deep Learning, Effective communication skills, Keras software library, Machine learning techniques, MLOps tools, Python Programming, PyTorch, TensorFlow

Job Description

AI Solutions is seeking a skilled Machine Learning engineer; you will be one of our resident experts for machine learning and model development. Combined with an extensive knowledge of our Determined AI open-source platform, you will help our users solve a wide range of problems in machine learning development, from exploratory data analysis to model deployment. Additionally, you will collaborate with our engineering teams to ensure our software meets our users' needs. Finally, your understanding of the machine learning landscape will inspire our product and engineering direction to ensure our open-source platform continues to be at the cutting edge of MLOps.

Requirements

• Advanced degree in machine learning, math, statistics, or computer science; or equivalent deep theoretical knowledge of machine learning. Minimum of 5 years experience.
• Production-grade industry experience building machine learning applications for computer vision, natural language processing, text understanding, pattern recognition, recommendation/ranking systems, or similar.
• Proficiency in Python and at least one of the leading deep learning software packages: TensorFlow, Keras, PyTorch, or MXNet.
• Excellent communication skills, both written and verbal, and strong experience presenting technical information to a technically-diverse audience.

Preferred

• Prior experience designing, implementing, testing, and shipping production-quality software in an industrial setting.
• The interest and ability to contribute to user-facing Python libraries to facilitate adoption of the Determined open-source platform.
• Familiarity with using and debugging open-source libraries used in enterprise infrastructure solutions such as Docker, Kubernetes, or Apache Spark.
• Experience in cross-functional or customer-facing roles.

Additional Skills:

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Diversity, Inclusion & Belonging

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

Engineering

Job Level:

Expert

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html.

Annual Salary: $128,000.00 - $295,000.00

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.